Publications

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Lipovetzky, N., and Geffner, H., Best-first Width Search: Exploration and Exploitation in Classical Planning, Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI'17), 2017.
Lipovetzky, N., Muise, C., and Geffner, H., Traps, Invariants, and Dead-ends, Proc. 26th Int. Joint Conf. on Artificial Intelligence, 2016.
Lipovetzky, N., Ramírez, M., and Geffner, H., Classical Planning with Simulators: Results on the Atari Video Games, Proc. IJCAI 2015, 2015.
Lipovetzky, N., Ramírez, M., and Geffner, H., Classical Planning Algorithms on the Atari Video Games, Workshops at the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015.
Lipovetzky, N., and Geffner, H., Width and Serialization of Classical Planning Problems., ECAI, 2012, pp. 540–545.
Lipovetzky, N., and Geffner, H., Width-based algorithms for classical planning: New results, Heuristics and Search for Domain Independent Planning, vol. 16, 2014, p. 88.
Lipovetzky, N., Ramírez, M., and Geffner, H., C3: Planning with consistent causal chains, Int. Planning Competition Booklet (IPC-6), 2008.
Llera, A., Gómez, V., and Kappen, H. J., Adaptive Multiclass Classification for Brain Computer Interfaces, Neural computation, vol. 26, 2014, pp. 1108–1127.
Llera, A., Gómez, V., and Kappen, H. J., Quantitative analysis of task selection for brain-computer interfaces, Journal of Neural Engineering, vol. 11, 2014, p. 056002.
López, C. Linares, Jiménez, S., and Olaya, Á. García, The deterministic part of the seventh International Planning Competition, Artificial Intelligence, vol. 223, 2015, pp. 82–119.
López, C. Linares, Jiménez, S., and Helmert, M., Automating the evaluation of planning systems, {AI} Commun., vol. 26, 2013, pp. 331–354.
López, C. Linares, Jiménez, S., and Olaya, Á. García, The deterministic part of the seventh International Planning Competition, Artif. Intell., vol. 223, 2015, pp. 82–119.
Lotinac, D., and Jonsson, A., Automatic Generation of HTNs from PDDL, Proceedings of the Planning and Learning (PAL) Workshop at the International Conference on Automated Planning and Scheduling (ICAPS'15), 2015, pp. 15-23.
Lotinac, D., Segovia-Aguas, J., Jiménez, S., and Jonsson, A., Automatic Generation of High-Level State Features for Generalized Planning, Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI'16), 2016.
Lotinac, D., and Jonsson, A., Automatic Generation of HTNs from PDDL, Proceedings of the 2nd Multi-disciplinary Conference on Reinforcement Learning and Decision Making (RLDM'15), 2015.
Lotinac, D., and Jonsson, A., Constructing Hierarchical Task Models Using Invariance Analysis, Proceedings of the 22nd European Conference on Artificial Intelligence (ECAI'16), 2016.
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Neu, G., and Szepesvári, \textC., Training parsers by inverse reinforcement learning, Machine Learning Journal, vol. 77, 2009, pp. 303–337.
Neu, G., First-order regret bounds for combinatorial semi-bandits, {Proceedings of the 27th Annual Conference on Learning Theory (COLT)}, 2015, pp. 1360-1375.
Neu, G., and Bartók, G., An Efficient Algorithm for Learning with Semi-Bandit Feedback, Proceedings of the 24th International Conference on Algorithmic Learning Theory (ALT), 2013, pp. 234-248.
Neu, G., and Bartók, G., Importance weighting without importance weights: An efficient algorithm for combinatorial semi-bandits, Journal of Machine Learning Research, vol. 17, 2016, pp. 1-21.

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